Instructions to use Arabic250/gemma-4-E4B-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arabic250/gemma-4-E4B-it with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("Arabic250/gemma-4-E4B-it") model = AutoModelForImageTextToText.from_pretrained("Arabic250/gemma-4-E4B-it") - Notebooks
- Google Colab
- Kaggle
File size: 208 Bytes
0b6ba05 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"bos_token_id": 2,
"do_sample": true,
"eos_token_id": [
1,
106,
50
],
"pad_token_id": 0,
"temperature": 1.0,
"top_k": 64,
"top_p": 0.95,
"transformers_version": "5.5.0.dev0"
}
|